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Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry
Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry
Autore Perestrelo Rosa Maria de Sá
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (148 p.)
Soggetto non controllato nanoparticle tracking analysis
sweeteners
health risk assessment
metals
volatile phenols
aggregation
cyclodextrins
antioxidant activity
seed tannin
trace elements
sherry wine
HS-SPME
atomic absorption
Bee pollen
photo-diode array detector (PDA)
biological aging
triterpenoid saponins
VOCs
gas chromatography-mass spectrometry
charged aerosol detection (CAD)
anthocyanins
health potential
dessert wine
hydrogels
potential odorants
nuclear magnetic resonance
GC-qMS
Primula veris L.
mannoprotein
Brettanomyces
ionic exchange resin
Chinese wine
arabinogalactan
ICP-MS
activator
flavonoids
smoke taint
wine
cowslip
white spirits
estimated daily intake
ISBN 3-03928-735-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404077803321
Perestrelo Rosa Maria de Sá  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Sensor Technology in Agriculture
Emerging Sensor Technology in Agriculture
Autore Fuentes Sigfredo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato apple orchards
modeling and simulation
unmanned aerial vehicles
fruit ripeness
ethylene gas detection
3D crop modeling
remote sensing
on-ground sensing
depth images
parameter acquisition
capacitor sensor
deposit mass
pesticide droplets
formulations
ionization
CFD
airflow field test
monitoring method
spectral sensor
crop growth
computer vision
deep learning
image processing
pose estimation
animal detection
precision livestock
Citrus sinensis L. Osbeck
mechanical harvesting
acceleration sensor
vibration time
logistic regression
adaptive thresholding
fruit detection
parameter tuning
phenotype
phenotyping
phenomics
Triticum aestivum
water deficit
stress
infrared
leaf area index
cocoa beans
volatile compounds
artificial neural networks
VitiCanopy app
bushfires
infrared thermography
near-infrared spectroscopy
smoke taint
artificial intelligence
Kinect sensor
RGB
RGB-D
image segmentation
colour thresholding
bunch area
bunch volume
point cloud
mesh
surface reconstruction
image analysis
cluster morphology
machine learning
non-invasive sensing technologies
proximal sensing
precision viticulture
partial least square
support vector machine
Gaussian processes
soybean
pigeon pea
guar
tepary bean
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295003321
Fuentes Sigfredo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui